Expected value of fuzzy variable and fuzzy expected value models

Author

Liu, Baoding ; Liu, Yian-Kui

Author_Institution

Dept. of Math. Sci., Tsinghua Univ., Beijing, China

Volume

10

Issue

4

fYear

2002

fDate

8/1/2002 12:00:00 AM

Firstpage

445

Lastpage

450

Abstract

This paper will present a novel concept of expected values of fuzzy variables, which is essentially a type of Choquet integral and coincides with that of random variables. In order to calculate the expected value of general fuzzy variable, a fuzzy simulation technique is also designed. Finally, we construct a spectrum of fuzzy expected value models, and integrate fuzzy simulation, neural network, and genetic algorithms to produce a hybrid intelligent algorithm for solving general fuzzy expected value models.

Keywords

convex programming; fuzzy systems; genetic algorithms; neural nets; possibility theory; Choquet integral; expected values; fuzzy expected value models; fuzzy programming models; fuzzy simulation technique; fuzzy variables; genetic algorithms; hybrid intelligent algorithm; neural network algorithm; possibility theory; random variables; Computational modeling; Computer networks; Computer simulation; Fuzzy neural networks; Fuzzy set theory; Genetic algorithms; Intelligent networks; Neural networks; Possibility theory; Random variables;

fLanguage

English

Journal_Title

Fuzzy Systems, IEEE Transactions on

Publisher

ieee

ISSN

1063-6706

Type

jour

DOI

10.1109/TFUZZ.2002.800692

Filename

1022866